WADEIn II: a case for adaptive explanatory visualization

  • Authors:
  • Peter Brusilovsky;Tomasz D. Loboda

  • Affiliations:
  • University of Pittsburgh, Pittsburgh, PA;University of Pittsburgh, Pittsburgh, PA

  • Venue:
  • Proceedings of the 11th annual SIGCSE conference on Innovation and technology in computer science education
  • Year:
  • 2006

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Abstract

Adaptive explanatory visualization is an attempt to integrate two promising approaches to program visualization: adaptive visualization and explanatory visualization. The goal of this paper is to demonstrate the ideas of adaptive explanatory visualization using a practical example. The paper introduces the WADEIn II system for the visualization of expression evaluation in the C programming language, shows how expression evaluation visualizations can be made adaptive, and explains our approach to the adaptive generation of explanations.